2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

A Software Architecture and Data Model for Community-Based Healthcare Environments

Download896 downloads
  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2549,
        author={Antti  Sarela and Niranjan  Bidargaddi and Mohan  Karunanithi},
        title={A Software Architecture and Data Model for Community-Based Healthcare Environments},
        proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2008},
        month={7},
        keywords={Aging Condition monitoring Data models Diseases Health information management Hospitals Information analysis Medical services Patient monitoring Software architecture},
        doi={10.4108/ICST.PERVASIVEHEALTH2008.2549}
    }
    
  • Antti Sarela
    Niranjan Bidargaddi
    Mohan Karunanithi
    Year: 2008
    A Software Architecture and Data Model for Community-Based Healthcare Environments
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2549
Antti Sarela1,*, Niranjan Bidargaddi1,*, Mohan Karunanithi1,*
  • 1: CSIRO ICT Centre (E-Health Research Centre), P O Box 10842, Level 20, 300 Adelaide Street, Brisbane 4000, QLD, Australia
*Contact email: antti.sarela@csiro.au, niranjan.bidargaddi@csiro.au, mohan.karunanithi@csiro.au

Abstract

Major changes in healthcare delivery are needed to ease the pressures caused by global increase in ageing population and prevalence of chronic diseases. Recent care initiatives address these problems by delivering care in community-based settings, away from hospitals. The community care model requires that a patient’s health condition is also monitored in the home environment to allow assessment and follow-up of the health status. Our work presented in this paper aims to design a system architecture and data model that would provide efficient means to perform essential information management for ambulatory monitoring in a home health care setting. We describe a general purpose architecture and data model that is designed for collecting ambulatory data from various existing devices and systems, as well as for analyzing, storing and presenting clinically significant information to the care personnel.